The Diagnostic Accuracy of Static Posturography in Predicting Accidental Falls in People With Multiple Sclerosis

Background. Quantitative posturography has been reported as a reliable tool to measure balance in people with multiple sclerosis (MS). However, data on its diagnostic accuracy in predicting the occurrence of falls are lacking. Objective. To determine sensitivity, specificity, predictive values, and accuracy of posturography in detecting falls in MS subjects over a 3-month follow-up period. Methods. One hundred consecutive patients with MS were tested by the Berg Balance Scale (BBS) and by static posturography on a monoaxial platform. Participants recorded the occurrence of accidental falls for the next 3 months. Abnormal cutoff values for static standing balance measures were set at 2 standard deviations above the mean values obtained from 50 healthy controls (HC). The diagnostic accuracy of the BBS and static posturography was analyzed with respect to the prospectively collected data on the occurrence of falls. Results. Posturometric measures in participants with MS were significantly worse than in HC (all P values